During their recent work, Gycm520 enhanced the langgenius/dify repository by building post-publish file parameter support within WorkflowTool, introducing a mechanism to update file mappings based on transfer methods and ensuring correct referencing of tool and local files after workflow publication. This Python-based backend development improved workflow reliability and reduced post-publish errors, streamlining automation processes. In the modelscope/ms-swift repository, Gycm520 addressed a critical bug in the EarlyStopping plugin for machine learning training loops, ensuring the patience counter resets correctly on metric improvement. Their contributions focused on API development, bug fixing, and plugin development, demonstrating solid depth in backend and machine learning workflows.